{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T04:24:34Z","timestamp":1774671874270,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2012,11,17]],"date-time":"2012-11-17T00:00:00Z","timestamp":1353110400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geotech Geol Eng"],"published-print":{"date-parts":[[2013,6]]},"DOI":"10.1007\/s10706-012-9585-3","type":"journal-article","created":{"date-parts":[[2012,11,16]],"date-time":"2012-11-16T16:43:46Z","timestamp":1353084226000},"page":"861-879","source":"Crossref","is-referenced-by-count":38,"title":["Artificial Intelligence Applications in Transportation Geotechnics"],"prefix":"10.1007","volume":"31","author":[{"given":"A.","family":"Gomes Correia","sequence":"first","affiliation":[]},{"given":"P.","family":"Cortez","sequence":"additional","affiliation":[]},{"given":"J.","family":"Tinoco","sequence":"additional","affiliation":[]},{"given":"R.","family":"Marques","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,11,17]]},"reference":[{"key":"9585_CR1","unstructured":"AASHTO-T307-99 (2000) Determining the resilient modulus of soils and aggregate materials. Standard specifications for transportation materials and methods of sampling and testing, AASHTO"},{"key":"9585_CR2","unstructured":"Alshibani A, Moselhi O (2007) Crew optimization in planning and control of earthmoving operations using spatial technologies. J Inf Technol Constr 12:121\u2013137"},{"key":"9585_CR3","unstructured":"Bi J, Bennett K (2003) Regression error characteristic curves. In: Proceedings of the twentieth international conference on machine learning, CD-ROM"},{"key":"9585_CR4","unstructured":"Ceylan H, Tutumluer E, Gomez-Ramirez F, Thompson M, Guclu A (2004) Neural network-based structural models for rapid analysis of flexible pavements with unbound aggregate layers. In: Proceedings of 6th international symposium on pavements unbound"},{"key":"9585_CR5","unstructured":"Chapman P, Clinton J, Kerber R, Khabaza T, Reinartz T, Shearer C, Wirth R (2000) CRISP-DM 1.0: step-by-step data mining guide. CRISP-DM consortium"},{"key":"9585_CR6","unstructured":"Chungski Y (2010) Integration of IT into routine geotechnical design. In: Proceedings of the 1st international conference international information technology in geo-engineering, pp 19\u201336"},{"key":"9585_CR7","doi-asserted-by":"crossref","unstructured":"Cortez P, Embrechts M (2011) Opening black box data mining models using sensitivity analysis. In: Proceedings of the 2011 IEEE symposium on computational intelligence and data mining, pp 341\u2013348","DOI":"10.1109\/CIDM.2011.5949423"},{"key":"9585_CR8","unstructured":"Dawson A, Gomes Correia A (1996) The effects of subgrade clay condition on the structural behaviour of road pavements. Flexible pavements. A. A. Balkema, pp 113\u2013119"},{"issue":"11","key":"9585_CR9","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1145\/240455.240464","volume":"39","author":"U Fayyad","year":"1996","unstructured":"Fayyad U, Piattetsky-Shapiro G, Smyth P (1996) The KDD process for extracting useful knowledge from volumes of data. Commun ACM 39(11):27\u201334","journal-title":"Commun ACM"},{"key":"9585_CR10","doi-asserted-by":"crossref","unstructured":"Ganji V, Gucunski N, Nazarian S (1998) Automated inversion procedure for spectral analysis of surface waves. J Geotech Geoenviron Eng 100(3):575\u2013770","DOI":"10.1061\/(ASCE)1090-0241(1998)124:8(757)"},{"issue":"5","key":"9585_CR11","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.compgeo.2007.06.001","volume":"34","author":"A Goh","year":"2007","unstructured":"Goh A, Goh S (2007) Support vector machines: their use in geotechnical engineering as illustrated using seismic liquefaction data. Comput Geotech 34(5):410\u2013421","journal-title":"Comput Geotech"},{"key":"9585_CR12","unstructured":"Gomes Correia A (1985) Contribution to the study of deformability of soils under cyclic loading. PhD thesis, \u00c9cole National des Pontes et Chauss\u00e9es, Paris, France (in French)"},{"key":"9585_CR13","doi-asserted-by":"crossref","unstructured":"Gomes Correia A (2008) Innovation in design and construction of granular pavements and railways. In: Proceedings of 1st international conference on transportation geotechnics, CRC Press\/Balkema, Nottingham, UK, pp 3\u201313","DOI":"10.1201\/9780203885949.pt1"},{"key":"9585_CR14","volume-title":"The elements of statistical learning: data mining, inference, and prediction","author":"T Hastie","year":"2008","unstructured":"Hastie T, Tibshirani R, Friedman J (2008) The elements of statistical learning: data mining, inference, and prediction. Springer, Berlin"},{"key":"9585_CR15","unstructured":"Marques R (2007) Development of an intelligent system to support compaction optimization of geomaterials in transportation network. Dissertation, University of Minho (in Portuguese)"},{"key":"9585_CR16","doi-asserted-by":"crossref","unstructured":"Marzouk M, Moselhi O (2000) Optimizing earthmoving operations using object-oriented simulation. In: Proceedings of the 2000 winter simulation conference, pp 1936\u20131932","DOI":"10.1109\/WSC.2000.899188"},{"key":"9585_CR17","doi-asserted-by":"crossref","unstructured":"Marzouk M, Moselhi O (2002) Selecting earthmoving equipment fleets using genetic algorithms. In: Proceedings of the 2002 winter simulation conference, pp 1789\u20131796","DOI":"10.1109\/WSC.2002.1166469"},{"key":"9585_CR18","unstructured":"Meier R, Rix G (1995) Backcalculation of flexible pavement moduli from dynamic deflection basins using artificial neural networks. Transportation Research Record 1473, Transportation Research Board"},{"key":"9585_CR19","unstructured":"Nazari S, Saljooghi S, Shahbazi M, Akbari H (2010) Application of artificial neural networks in solving inversion problem of surface wave method on pavements. In: Proceedings of 2nd international conference on engineering optimization, CD-ROM"},{"key":"9585_CR20","doi-asserted-by":"crossref","unstructured":"Samui P, Das S, Sitharam T (2009) Application of soft computing techniques to expansive soil characterization. In: Proceedings of intelligent and soft computing in infrastructure systems engineering. Stud Comput Intell 259:305\u2013323","DOI":"10.1007\/978-3-642-04586-8_11"},{"key":"9585_CR21","volume-title":"Guide for road earthworks\u2014realisation of embankments and capping layers","author":"SETRA and LCPC","year":"1992","unstructured":"SETRA and LCPC (1992) Guide for road earthworks\u2014realisation of embankments and capping layers. Laboratoire Central des Ponts et Chauss\u00e9es, Paris (in French)"},{"key":"9585_CR22","doi-asserted-by":"crossref","unstructured":"Shirazi H, Nasarian S, Abdallah I (2006) Implementation of artificial neural networks to automate SASW inversion. In: Proceedings of GeoCongress: geotechnical engineering in the information technology age, pp 1\u20136. doi: 10.1061\/40803(187)95","DOI":"10.1061\/40803(187)95"},{"issue":"3","key":"9585_CR23","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1016\/j.conbuildmat.2010.09.027","volume":"25","author":"J Tinoco","year":"2011","unstructured":"Tinoco J, Gomes Correia A, Cortez P (2011a) Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time. Constr Build Mater 25(3):1257\u20131262. doi: 10.1016\/j.conbuildmat.2010.09.027","journal-title":"Constr Build Mater"},{"key":"9585_CR24","doi-asserted-by":"crossref","unstructured":"Tinoco J, Gomes Correia A, Cortez P (2011b) A data mining approach for predicting jet grouting geomechanical parameters. In: Proceedings of GeoHunan international conference II: emerging technologies for design, construction, rehabilitation, and inspections of transportation infrastructures: rood material and new innovations in pavement engineering, Geotechnical Special Publication, vol 223, pp 97\u2013104. ISBN: 08950563","DOI":"10.1061\/47634(413)13"},{"key":"9585_CR25","unstructured":"Toll D (1996) Artificial intelligence applications in geotechnical engineering. Electr J Geotech Eng 1:1\u20133. ISSN: 10893032"},{"key":"9585_CR26","unstructured":"Transportation Research, Circular N. E-C012 (1999) Use of artificial neural networks in geomechanical and pavement systems. TRB\/National Research Council"},{"key":"9585_CR27","doi-asserted-by":"crossref","unstructured":"Tutumluer E, Meier R (1996) Attempt at resilient modulus modeling using artificial neural networks. Transportation Research Record 1540, Transportation Research Board","DOI":"10.3141\/1540-01"},{"key":"9585_CR28","doi-asserted-by":"crossref","unstructured":"Tutumluer E, Seyhan U (1998) Neural network modeling of anisotropic aggregate behavior from repeated load triaxial tests. In: Proceedings of transportation research record 1615, National Research Council","DOI":"10.3141\/1615-12"},{"key":"9585_CR29","unstructured":"Tutumluer E, Pekcan O, Ghaboussi J (2009) Nondestructive pavement evaluation using finite element analysis based soft computing models. NEXTRANS Project No. 010IY01, NEXTRANS Center"},{"key":"9585_CR30","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.compgeo.2006.08.007","volume":"34","author":"C Yoo","year":"2007","unstructured":"Yoo C, Kim J (2007) Tunneling performance prediction using an integrated GIS and neural network. Comput Geotech 34:19\u201330","journal-title":"Comput Geotech"},{"key":"9585_CR31","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.autcon.2008.05.002","volume":"18","author":"H Zhang","year":"2008","unstructured":"Zhang H (2008) Multi-objective simulation-optimization for earthmoving operations. Autom Constr 18:79\u201386","journal-title":"Autom Constr"}],"container-title":["Geotechnical and Geological Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10706-012-9585-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10706-012-9585-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10706-012-9585-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T13:30:28Z","timestamp":1643635828000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10706-012-9585-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,11,17]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,6]]}},"alternative-id":["9585"],"URL":"https:\/\/doi.org\/10.1007\/s10706-012-9585-3","relation":{},"ISSN":["0960-3182","1573-1529"],"issn-type":[{"value":"0960-3182","type":"print"},{"value":"1573-1529","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,11,17]]}}}